
Hello, I'm
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Software & AI Engineer
I build AI-driven systems end to end — LLM integration, predictive models, and the scalable backends that carry them
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Software & AI Engineer
Honors Software Engineering graduate — I build the system and the intelligence layer inside it
I'm a Software & AI Engineer building AI-driven solutions end to end. I graduated with Honors in Software Engineering from Mustaqbal University in 2025 (GPA 4.6/5), and I now engineer scalable backend architectures and lead LLM integration at Kafaat. My work spans the full path from data to product: integrating Large Language Models like Google Gemini and OpenAI, building Retrieval-Augmented Generation pipelines for semantic search, training supervised models for predictive analytics, and architecting the ASP.NET Core and Node.js services that put all of it in front of real users. Before Kafaat I completed a Software Engineering COOP at Clear Vision Co. in Riyadh, where I optimized CI/CD pipelines to cut deployment time by up to 20%, led architecture and technical solution design for enterprise projects, and mentored junior interns on clean-code practices. What I care about is reliability: an AI feature that only works when the model cooperates isn't finished — so I design multi-LLM fallbacks, deterministic defaults, and behaviour I can actually verify. I'm focused on advancing AI innovation within Saudi Arabia's tech ecosystem, with particular interest in Arabic NLP, data engineering, and MLOps.
Software Engineering, with Honors
BSc in Software Engineering from Mustaqbal University, graduated 2025 with Honors and a 4.6/5 GPA — architecture, machine learning, databases, and secure development.
Enterprise practice at Clear Vision
A Software Engineering COOP in Riyadh: cut deployment time up to 20% through CI/CD optimization, led solution architecture, ran security reviews, and mentored junior interns.
Shipping whole systems solo
Architected, built and deployed complete products on my own — a predictive tender platform in ASP.NET Core, a real-time data pipeline in Python, and a fully offline Flutter app.
AI engineering at Kafaat
Now engineering scalable backends and leading LLM integration — model APIs, RAG retrieval, and the deployment paths that keep intelligent features reliable in production.

Abdulaziz Alaqs
عبدالعزيز العقص
Software & AI Engineer | LLM Integration • Machine Learning • Full Stack
📍 Riyadh, Saudi Arabia
Availability
Roles & project work
Riyadh-based • open to relocation
Focus
LLMs, RAG & Arabic NLP
Model integration, retrieval, evaluation
Stack
Python • C# • JavaScript • Dart
ASP.NET Core, Node.js, Flutter, SQL Server
Education
BSc Software Engineering
Mustaqbal University — Honors, 4.6/5
Get in touch — I usually reply within a day
Core Expertise
The disciplines I combine when building an AI-driven system
LLM Application Engineering
Turning Gemini and OpenAI into dependable product features
Machine Learning & Predictive Analytics
Supervised models that estimate real business values
Data Engineering & RAG Pipelines
Streaming ingestion into lakehouse storage, then semantic retrieval
Backend & API Engineering
The scalable services that carry the model calls in production
Databases & Data Modelling
Schemas, query optimization, and access control at enterprise scale
DevOps, QA & Secure Delivery
Pipelines that ship fast without shipping vulnerabilities
I Build the Whole System
Not a component of it. From the first architecture sketch to the deployed, monitored product — I have taken every one of these steps alone, on real projects.
- 01
Architecture & data model
Requirements into a system design: service boundaries, the schema, access control, and where intelligence belongs.
Proof: Led solution architecture on enterprise projects at Clear Vision - 02
Backend & APIs
ASP.NET Core or Node.js services, REST and WebSocket contracts, authentication, and the query optimization behind them.
Proof: EF Core + SQL Server tender platform, Express + MySQL portal - 03
Data & AI layer
Ingestion pipelines, feature engineering, model training or LLM integration, retrieval, and the fallbacks that keep it honest.
Proof: Kafka → Airflow → Delta Lake → RAG, built solo - 04
Interface
Angular, React/Next.js or Flutter — responsive, accessible, and bilingual when the audience needs it.
Proof: Web, mobile and desktop interfaces shipped - 05
Ship & keep it running
CI/CD with security validation in the pipeline, containerisation, automated tests, backups and disaster recovery.
Proof: Cut deployment time by up to 20% through pipeline work
What I can build for you
AI features inside your product
An assistant, a summarizer, semantic search over your own documents, or a predictive model on your historical data — designed with fallbacks so it never takes the product down.
A complete web platform
Architecture, database, API, admin panel, role-based access, reporting and deployment. One engineer, one coherent system, no hand-off gaps.
A cross-platform mobile app
One Flutter codebase for Android and iOS — offline-first when it matters, with proper Arabic typography and RTL from the start.
Data pipelines & automation
Streaming or batch ingestion, validation, a lakehouse to store it, orchestration to run it, and dashboards or an API on top.
Have something to build?
Tell me the problem — I will come back with an architecture, a realistic scope, and a timeline. Or ask my assistant first; it knows what I have shipped.
Technical Expertise
From model integration and data pipelines to the backends, databases, and delivery that carry them
AI & Machine Learning
LLM Integration
Google Gemini
RAG Pipelines
NLP
Supervised Learning
Pandas & NumPy
Model Evaluation
Computer Vision
Python
C#
JavaScript
TypeScript
Java
SQL
Dart
Git
ASP.NET Core
Node.js
Express.js
Entity Framework
REST APIs
WebSockets
Microservices
RBAC & Auth
Apache Kafka
Apache Airflow
Delta Lake
ETL Pipelines
Power BI
Data Modelling
JSON Schema
Query Optimization
SQL Server
MySQL
PostgreSQL
Angular
React
Flutter
Tailwind CSS
Bootstrap
CI/CD Pipelines
Docker
GitHub Actions
Azure
Selenium
PyTest & NUnit
Postman
Jira & Agile
Featured Projects
Systems I designed, built and shipped — where the AI layer and the software around it were engineered together
AI-Powered Tender Management System
A secure, web-based tender and bid-management platform with role-based access control and identity management through EF Core. Its predictive-analytic…
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AI-Powered Tender Management System
Supervised-learning module that predicts deal values and budget ranges from historical tenders, wrapped in an RBAC-secured system that produces audit-ready compliance reports automatically.
Tech Stack
Student Collaboration Portal — AI Study Buddy
A scalable student file-sharing and collaboration platform I led a 4-member team to build. I integrated Google Gemini to create a context-aware "Study…
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Student Collaboration Portal — AI Study Buddy
40% improvement in file-sharing efficiency; LLM-powered study assistant with PDF summarization and semantic search, delivered as team lead of 4 developers.
Tech Stack
E-Commerce Real-Time Product Pipeline
A real-time data-ingestion pipeline for e-commerce product updates, built on a Kafka producer/consumer architecture with JSON Schema validation. I des…
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E-Commerce Real-Time Product Pipeline
End-to-end data engineering: streaming ingestion, schema-validated lakehouse storage, orchestrated workflows, and a RAG layer that turns raw product data into semantic search.
Tech Stack
Math Heroes — AI Educational Game
A full-stack educational game for children with a RESTful Node.js backend and a responsive vanilla JavaScript frontend. I architected an adaptive-diff…
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Math Heroes — AI Educational Game
Multi-LLM fallback architecture with a deterministic generator underneath — the AI enhances the game but can never break it.
Tech Stack
Smart Quran App
A cross-platform, offline-first mobile application for reading the Quran, with 100% of its functionality available without a network connection. Inclu…
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Smart Quran App
100% offline by design — every feature, including the intelligent verse recommender, runs on-device with no network dependency and no user data leaving the phone.
Tech Stack
Engineering Journey
From an Honors degree, through enterprise engineering, to leading LLM integration
Backend Developer & AI Integration Specialist
Kafaat
Engineering scalable backend architectures and leading the integration of AI models and LLMs to drive intelligent product features.
Key Achievements
Technologies Used
Software Engineering Cooperative Trainee (COOP)
Clear Vision Co.
Full-cycle software engineering across CI/CD, backend development, solution architecture, QA, and application security on enterprise projects.
Key Achievements
Technologies Used
Bachelor of Science in Software Engineering
Mustaqbal University
Graduated with Honors, GPA 4.6/5.0.
Key Achievements
Technologies Used
Credentials & Continuous Learning
13 certifications across AI, generative AI, cloud, and software delivery
Google Cloud Professional Machine Learning Engineer
Google Cloud
Professional-level certification covering ML system design, model training and deployment, and production ML pipelines on Google Cloud.
Generative AI Fundamentals
Google Cloud
Foundations of generative AI, large language models, and responsible AI practice.
Developing Generative AI Solutions — Modern Data Engineering for AI Systems
SDAIA
Building generative AI solutions on modern data engineering foundations, from the Saudi Data & AI Authority.
Building AI
University of Helsinki
Advanced course on AI algorithms, machine learning methods, and neural networks.
Elements of AI
University of Helsinki
Core concepts of artificial intelligence, machine learning, and their real-world implications.
Elements of AI for Business
MinnaLearn & University of Helsinki
Applying AI strategically in organisations, from use-case selection to adoption.
Data Science & AI Path
Satr Platform
Applied data science and AI track covering analysis, modelling, and deployment.
Cloud Computing and Artificial Intelligence
Tuwaiq Academy
Combined cloud infrastructure and applied AI programme.
Cloud Computing Engineer
Alibaba Cloud
Cloud architecture, deployment, and operations on Alibaba Cloud.
Dive into Generative AI
Alibaba Cloud
Certified programme on generative AI models, capabilities, and implementation.
Using Generative AI Ethically and Responsibly
Alibaba Cloud
Responsible AI practice: bias, transparency, safety, and governance.
AWS Agentic AI Demonstration
Amazon Web Services
Agentic AI systems and tool-using autonomous agents on AWS.
Scrum Fundamentals Certified (SFC)
ScrumStudy
Scrum framework, roles, ceremonies, and artefacts for Agile delivery.
Areas of Interest
Where I'm pushing my work next
Arabic Natural Language Processing
Advancing ArabNLP — models and tooling that handle Arabic morphology, dialects, and script properly rather than as an afterthought.
Data Engineering & Analytics
Designing scalable data pipelines and predictive modelling that turn raw operational data into business intelligence.
MLOps & AI Deployment
Streamlining the lifecycle of machine learning models from development through to reliable production operation.
Let's Build Something Intelligent
Open to building products and to software & AI engineering roles, based in Riyadh. Tell me what you want to build.
Get in Touch
abdulazizallaqs@gmail.com
Phone / WhatsApp
+966 55 787 9934
Location
Riyadh, Saudi Arabia
GitHub
@abdulazizallaqs
Quick Response
📧 Email: usually within 24 hours
💬 WhatsApp: fastest response